Overview

Dataset statistics

Number of variables12
Number of observations766
Missing cells138
Missing cells (%)1.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory74.2 KiB
Average record size in memory99.2 B

Variable types

Numeric3
Categorical4
Text4
Boolean1

Dataset

Description일련번호,구분코드,지역코드,언어,이름,주소,홈페이지,이미지명,이미지경로,위도,경도,사용여부
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-15628/S/1/datasetView.do

Alerts

이미지경로 has constant value ""Constant
일련번호 is highly overall correlated with 언어 and 1 other fieldsHigh correlation
언어 is highly overall correlated with 일련번호High correlation
사용여부 is highly overall correlated with 일련번호High correlation
홈페이지 has 138 (18.0%) missing valuesMissing
일련번호 has unique valuesUnique

Reproduction

Analysis started2024-05-18 00:23:22.649548
Analysis finished2024-05-18 00:23:29.161224
Duration6.51 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

일련번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct766
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean389.42167
Minimum1
Maximum778
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2024-05-18T09:23:29.556406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile39.25
Q1194.25
median390.5
Q3583.75
95-th percentile739.75
Maximum778
Range777
Interquartile range (IQR)389.5

Descriptive statistics

Standard deviation225.57541
Coefficient of variation (CV)0.57925748
Kurtosis-1.2081992
Mean389.42167
Median Absolute Deviation (MAD)195
Skewness-0.00034355785
Sum298297
Variance50884.268
MonotonicityNot monotonic
2024-05-18T09:23:30.242745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 1
 
0.1%
381 1
 
0.1%
251 1
 
0.1%
506 1
 
0.1%
644 1
 
0.1%
658 1
 
0.1%
662 1
 
0.1%
659 1
 
0.1%
189 1
 
0.1%
197 1
 
0.1%
Other values (756) 756
98.7%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
778 1
0.1%
777 1
0.1%
776 1
0.1%
775 1
0.1%
774 1
0.1%
773 1
0.1%
772 1
0.1%
771 1
0.1%
770 1
0.1%
769 1
0.1%

구분코드
Categorical

Distinct6
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
M002
536 
M006
104 
M004
70 
M005
 
48
M010
 
4

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowM010
2nd rowM002
3rd rowM002
4th rowM002
5th rowM002

Common Values

ValueCountFrequency (%)
M002 536
70.0%
M006 104
 
13.6%
M004 70
 
9.1%
M005 48
 
6.3%
M010 4
 
0.5%
M001 4
 
0.5%

Length

2024-05-18T09:23:30.684403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T09:23:31.083602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
m002 536
70.0%
m006 104
 
13.6%
m004 70
 
9.1%
m005 48
 
6.3%
m010 4
 
0.5%
m001 4
 
0.5%

지역코드
Categorical

Distinct9
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
H001
436 
H012
112 
H002
104 
H011
44 
H006
 
34
Other values (4)
 
36

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowH001
2nd rowH001
3rd rowH005
4th rowH004
5th rowH001

Common Values

ValueCountFrequency (%)
H001 436
56.9%
H012 112
 
14.6%
H002 104
 
13.6%
H011 44
 
5.7%
H006 34
 
4.4%
H005 17
 
2.2%
H003 11
 
1.4%
H004 4
 
0.5%
H009 4
 
0.5%

Length

2024-05-18T09:23:31.701302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T09:23:32.090264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
h001 436
56.9%
h012 112
 
14.6%
h002 104
 
13.6%
h011 44
 
5.7%
h006 34
 
4.4%
h005 17
 
2.2%
h003 11
 
1.4%
h004 4
 
0.5%
h009 4
 
0.5%

언어
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
KOR
212 
ENG
187 
CHN
185 
JPN
182 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowKOR
2nd rowKOR
3rd rowKOR
4th rowKOR
5th rowKOR

Common Values

ValueCountFrequency (%)
KOR 212
27.7%
ENG 187
24.4%
CHN 185
24.2%
JPN 182
23.8%

Length

2024-05-18T09:23:32.542466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T09:23:32.954778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
kor 212
27.7%
eng 187
24.4%
chn 185
24.2%
jpn 182
23.8%

이름
Text

Distinct655
Distinct (%)85.5%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
2024-05-18T09:23:33.704549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length42
Mean length11.488251
Min length2

Characters and Unicode

Total characters8800
Distinct characters624
Distinct categories11 ?
Distinct scripts6 ?
Distinct blocks8 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique558 ?
Unique (%)72.8%

Sample

1st row북촌문화요일
2nd row여름한옥
3rd row창덕궁 소담
4th row문 게스트하우스
5th row도원정 힐링하우스
ValueCountFrequency (%)
hanok 38
 
3.1%
guesthouse 38
 
3.1%
house 32
 
2.6%
게스트하우스 26
 
2.1%
workshop 17
 
1.4%
guest 17
 
1.4%
bukchon 16
 
1.3%
ゲストハウス 14
 
1.1%
한옥 12
 
1.0%
stay 12
 
1.0%
Other values (753) 1013
82.0%
2024-05-18T09:23:35.078769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
469
 
5.3%
o 429
 
4.9%
e 360
 
4.1%
a 302
 
3.4%
n 296
 
3.4%
u 273
 
3.1%
s 205
 
2.3%
? 157
 
1.8%
h 149
 
1.7%
i 146
 
1.7%
Other values (614) 6014
68.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 3101
35.2%
Other Letter 2985
33.9%
Uppercase Letter 869
 
9.9%
Decimal Number 617
 
7.0%
Other Punctuation 540
 
6.1%
Space Separator 469
 
5.3%
Close Punctuation 82
 
0.9%
Open Punctuation 82
 
0.9%
Dash Punctuation 26
 
0.3%
Final Punctuation 16
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
ン 104
 
3.5%
스 103
 
3.5%
ス 103
 
3.5%
ウ 70
 
2.3%
우 61
 
2.0%
ハ 60
 
2.0%
하 58
 
1.9%
屋 50
 
1.7%
ト 48
 
1.6%
한 44
 
1.5%
Other values (532) 2284
76.5%
Lowercase Letter
ValueCountFrequency (%)
o 429
13.8%
e 360
11.6%
a 302
9.7%
n 296
9.5%
u 273
 
8.8%
s 205
 
6.6%
h 149
 
4.8%
i 146
 
4.7%
t 129
 
4.2%
k 123
 
4.0%
Other values (16) 689
22.2%
Uppercase Letter
ValueCountFrequency (%)
H 115
13.2%
S 99
 
11.4%
G 89
 
10.2%
D 58
 
6.7%
O 49
 
5.6%
E 45
 
5.2%
B 42
 
4.8%
M 40
 
4.6%
W 36
 
4.1%
I 35
 
4.0%
Other values (15) 261
30.0%
Decimal Number
ValueCountFrequency (%)
2 100
16.2%
3 89
14.4%
8 86
13.9%
9 83
13.5%
5 70
11.3%
0 57
9.2%
1 51
8.3%
4 32
 
5.2%
7 30
 
4.9%
6 19
 
3.1%
Other Punctuation
ValueCountFrequency (%)
? 157
29.1%
& 109
20.2%
# 109
20.2%
; 109
20.2%
？ 35
 
6.5%
' 10
 
1.9%
, 6
 
1.1%
: 4
 
0.7%
， 1
 
0.2%
Close Punctuation
ValueCountFrequency (%)
) 73
89.0%
」 6
 
7.3%
） 3
 
3.7%
Open Punctuation
ValueCountFrequency (%)
( 72
87.8%
「 6
 
7.3%
（ 4
 
4.9%
Final Punctuation
ValueCountFrequency (%)
’ 9
56.2%
” 7
43.8%
Initial Punctuation
ValueCountFrequency (%)
“ 7
53.8%
‘ 6
46.2%
Space Separator
ValueCountFrequency (%)
469
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 3970
45.1%
Common 1845
21.0%
Hangul 1189
 
13.5%
Katakana 925
 
10.5%
Han 841
 
9.6%
Hiragana 30
 
0.3%

Most frequent character per script

Han
ValueCountFrequency (%)
屋 50
 
5.9%
工 38
 
4.5%
房 38
 
4.5%
韓 29
 
3.4%
村 29
 
3.4%
北 21
 
2.5%
家 20
 
2.4%
民 19
 
2.3%
堂 15
 
1.8%
坊 15
 
1.8%
Other values (221) 567
67.4%
Hangul
ValueCountFrequency (%)
스 103
 
8.7%
우 61
 
5.1%
하 58
 
4.9%
한 44
 
3.7%
옥 41
 
3.4%
트 39
 
3.3%
게 38
 
3.2%
공 35
 
2.9%
방 30
 
2.5%
이 25
 
2.1%
Other values (212) 715
60.1%
Katakana
ValueCountFrequency (%)
ン 104
 
11.2%
ス 103
 
11.1%
ウ 70
 
7.6%
ハ 60
 
6.5%
ト 48
 
5.2%
ゲ 38
 
4.1%
ジ 31
 
3.4%
ル 29
 
3.1%
ョ 27
 
2.9%
ソ 23
 
2.5%
Other values (58) 392
42.4%
Latin
ValueCountFrequency (%)
o 429
 
10.8%
e 360
 
9.1%
a 302
 
7.6%
n 296
 
7.5%
u 273
 
6.9%
s 205
 
5.2%
h 149
 
3.8%
i 146
 
3.7%
t 129
 
3.2%
k 123
 
3.1%
Other values (41) 1558
39.2%
Common
ValueCountFrequency (%)
469
25.4%
? 157
 
8.5%
& 109
 
5.9%
# 109
 
5.9%
; 109
 
5.9%
2 100
 
5.4%
3 89
 
4.8%
8 86
 
4.7%
9 83
 
4.5%
) 73
 
4.0%
Other values (21) 461
25.0%
Hiragana
ValueCountFrequency (%)
の 3
 
10.0%
し 3
 
10.0%
り 2
 
6.7%
ん 2
 
6.7%
と 2
 
6.7%
う 2
 
6.7%
け 2
 
6.7%
ど 1
 
3.3%
ぐ 1
 
3.3%
れ 1
 
3.3%
Other values (11) 11
36.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5731
65.1%
Hangul 1189
 
13.5%
Katakana 925
 
10.5%
CJK 838
 
9.5%
None 55
 
0.6%
Hiragana 30
 
0.3%
Punctuation 29
 
0.3%
CJK Compat Ideographs 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
469
 
8.2%
o 429
 
7.5%
e 360
 
6.3%
a 302
 
5.3%
n 296
 
5.2%
u 273
 
4.8%
s 205
 
3.6%
? 157
 
2.7%
h 149
 
2.6%
i 146
 
2.5%
Other values (62) 2945
51.4%
Katakana
ValueCountFrequency (%)
ン 104
 
11.2%
ス 103
 
11.1%
ウ 70
 
7.6%
ハ 60
 
6.5%
ト 48
 
5.2%
ゲ 38
 
4.1%
ジ 31
 
3.4%
ル 29
 
3.1%
ョ 27
 
2.9%
ソ 23
 
2.5%
Other values (58) 392
42.4%
Hangul
ValueCountFrequency (%)
스 103
 
8.7%
우 61
 
5.1%
하 58
 
4.9%
한 44
 
3.7%
옥 41
 
3.4%
트 39
 
3.3%
게 38
 
3.2%
공 35
 
2.9%
방 30
 
2.5%
이 25
 
2.1%
Other values (212) 715
60.1%
CJK
ValueCountFrequency (%)
屋 50
 
6.0%
工 38
 
4.5%
房 38
 
4.5%
韓 29
 
3.5%
村 29
 
3.5%
北 21
 
2.5%
家 20
 
2.4%
民 19
 
2.3%
堂 15
 
1.8%
坊 15
 
1.8%
Other values (219) 564
67.3%
None
ValueCountFrequency (%)
？ 35
63.6%
「 6
 
10.9%
」 6
 
10.9%
（ 4
 
7.3%
） 3
 
5.5%
， 1
 
1.8%
Punctuation
ValueCountFrequency (%)
’ 9
31.0%
” 7
24.1%
“ 7
24.1%
‘ 6
20.7%
Hiragana
ValueCountFrequency (%)
の 3
 
10.0%
し 3
 
10.0%
り 2
 
6.7%
ん 2
 
6.7%
と 2
 
6.7%
う 2
 
6.7%
け 2
 
6.7%
ど 1
 
3.3%
ぐ 1
 
3.3%
れ 1
 
3.3%
Other values (11) 11
36.7%
CJK Compat Ideographs
ValueCountFrequency (%)
麟 2
66.7%
樓 1
33.3%

주소
Text

Distinct699
Distinct (%)91.3%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
2024-05-18T09:23:35.921882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length83
Median length65
Mean length27.924282
Min length7

Characters and Unicode

Total characters21390
Distinct characters405
Distinct categories13 ?
Distinct scripts6 ?
Distinct blocks8 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique638 ?
Unique (%)83.3%

Sample

1st row북촌문화센터(종로구 계동길 37)
2nd row종로구 필운대로5가길 11-2
3rd row종로구 율곡로8길 45
4th row종로구 삼일대로32길 31-18
5th row종로구 율곡로1길 52-4
ValueCountFrequency (%)
종로구 177
 
7.1%
jongno-gu 154
 
6.2%
서울 81
 
3.2%
seoul 72
 
2.9%
鍾路區 45
 
1.8%
bukchon-ro 45
 
1.8%
桂洞 32
 
1.3%
嘉?洞 25
 
1.0%
鍾路 24
 
1.0%
鐘路？ 22
 
0.9%
Other values (869) 1818
72.9%
2024-05-18T09:23:37.331988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2070
 
9.7%
1 1142
 
5.3%
- 934
 
4.4%
2 814
 
3.8%
3 759
 
3.5%
o 742
 
3.5%
g 671
 
3.1%
n 599
 
2.8%
0 489
 
2.3%
& 450
 
2.1%
Other values (395) 12720
59.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5914
27.6%
Decimal Number 5138
24.0%
Lowercase Letter 4208
19.7%
Other Punctuation 2138
 
10.0%
Space Separator 2070
 
9.7%
Dash Punctuation 936
 
4.4%
Uppercase Letter 604
 
2.8%
Close Punctuation 185
 
0.9%
Open Punctuation 185
 
0.9%
Connector Punctuation 6
 
< 0.1%
Other values (3) 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
路 406
 
6.9%
로 315
 
5.3%
ン 299
 
5.1%
ル 257
 
4.3%
구 214
 
3.6%
종 183
 
3.1%
洞 182
 
3.1%
市 172
 
2.9%
길 158
 
2.7%
チ 141
 
2.4%
Other values (317) 3587
60.7%
Lowercase Letter
ValueCountFrequency (%)
o 742
17.6%
g 671
15.9%
n 599
14.2%
u 429
10.2%
l 269
 
6.4%
e 259
 
6.2%
i 222
 
5.3%
a 196
 
4.7%
r 142
 
3.4%
h 115
 
2.7%
Other values (14) 564
13.4%
Uppercase Letter
ValueCountFrequency (%)
J 178
29.5%
S 104
17.2%
B 56
 
9.3%
G 51
 
8.4%
H 30
 
5.0%
E 22
 
3.6%
Y 20
 
3.3%
C 18
 
3.0%
D 15
 
2.5%
P 13
 
2.2%
Other values (12) 97
16.1%
Other Punctuation
ValueCountFrequency (%)
& 450
21.0%
# 450
21.0%
; 450
21.0%
, 433
20.3%
? 171
 
8.0%
？ 142
 
6.6%
/ 17
 
0.8%
. 12
 
0.6%
: 7
 
0.3%
、 4
 
0.2%
Decimal Number
ValueCountFrequency (%)
1 1142
22.2%
2 814
15.8%
3 759
14.8%
0 489
9.5%
5 433
 
8.4%
6 411
 
8.0%
7 340
 
6.6%
4 315
 
6.1%
8 250
 
4.9%
9 185
 
3.6%
Dash Punctuation
ValueCountFrequency (%)
- 934
99.8%
－ 2
 
0.2%
Close Punctuation
ValueCountFrequency (%)
) 180
97.3%
） 5
 
2.7%
Open Punctuation
ValueCountFrequency (%)
( 180
97.3%
（ 5
 
2.7%
Space Separator
ValueCountFrequency (%)
2070
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 6
100.0%
Math Symbol
ValueCountFrequency (%)
= 4
100.0%
Initial Punctuation
ValueCountFrequency (%)
“ 1
100.0%
Final Punctuation
ValueCountFrequency (%)
” 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10664
49.9%
Latin 4812
22.5%
Han 2034
 
9.5%
Katakana 1967
 
9.2%
Hangul 1909
 
8.9%
Hiragana 4
 
< 0.1%

Most frequent character per script

Han
ValueCountFrequency (%)
路 406
20.0%
洞 182
 
8.9%
市 172
 
8.5%
鍾 111
 
5.5%
街 108
 
5.3%
首 101
 
5.0%
鐘 86
 
4.2%
特 82
 
4.0%
桂 67
 
3.3%
北 55
 
2.7%
Other values (133) 664
32.6%
Hangul
ValueCountFrequency (%)
로 315
16.5%
구 214
 
11.2%
종 183
 
9.6%
길 158
 
8.3%
서 124
 
6.5%
울 113
 
5.9%
동 71
 
3.7%
북 61
 
3.2%
촌 52
 
2.7%
계 38
 
2.0%
Other values (110) 580
30.4%
Katakana
ValueCountFrequency (%)
ン 299
15.2%
ル 257
13.1%
チ 141
 
7.2%
ギ 128
 
6.5%
ョ 128
 
6.5%
ウ 123
 
6.3%
ソ 118
 
6.0%
ロ 102
 
5.2%
ノ 72
 
3.7%
ク 64
 
3.3%
Other values (51) 535
27.2%
Latin
ValueCountFrequency (%)
o 742
15.4%
g 671
13.9%
n 599
12.4%
u 429
 
8.9%
l 269
 
5.6%
e 259
 
5.4%
i 222
 
4.6%
a 196
 
4.1%
J 178
 
3.7%
r 142
 
3.0%
Other values (36) 1105
23.0%
Common
ValueCountFrequency (%)
2070
19.4%
1 1142
10.7%
- 934
 
8.8%
2 814
 
7.6%
3 759
 
7.1%
0 489
 
4.6%
& 450
 
4.2%
# 450
 
4.2%
; 450
 
4.2%
5 433
 
4.1%
Other values (22) 2673
25.1%
Hiragana
ValueCountFrequency (%)
の 2
50.0%
て 1
25.0%
に 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15314
71.6%
CJK 2032
 
9.5%
Katakana 1967
 
9.2%
Hangul 1909
 
8.9%
None 160
 
0.7%
Hiragana 4
 
< 0.1%
CJK Compat Ideographs 2
 
< 0.1%
Punctuation 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2070
 
13.5%
1 1142
 
7.5%
- 934
 
6.1%
2 814
 
5.3%
3 759
 
5.0%
o 742
 
4.8%
g 671
 
4.4%
n 599
 
3.9%
0 489
 
3.2%
& 450
 
2.9%
Other values (60) 6644
43.4%
CJK
ValueCountFrequency (%)
路 406
20.0%
洞 182
 
9.0%
市 172
 
8.5%
鍾 111
 
5.5%
街 108
 
5.3%
首 101
 
5.0%
鐘 86
 
4.2%
特 82
 
4.0%
桂 67
 
3.3%
北 55
 
2.7%
Other values (132) 662
32.6%
Hangul
ValueCountFrequency (%)
로 315
16.5%
구 214
 
11.2%
종 183
 
9.6%
길 158
 
8.3%
서 124
 
6.5%
울 113
 
5.9%
동 71
 
3.7%
북 61
 
3.2%
촌 52
 
2.7%
계 38
 
2.0%
Other values (110) 580
30.4%
Katakana
ValueCountFrequency (%)
ン 299
15.2%
ル 257
13.1%
チ 141
 
7.2%
ギ 128
 
6.5%
ョ 128
 
6.5%
ウ 123
 
6.3%
ソ 118
 
6.0%
ロ 102
 
5.2%
ノ 72
 
3.7%
ク 64
 
3.3%
Other values (51) 535
27.2%
None
ValueCountFrequency (%)
？ 142
88.8%
（ 5
 
3.1%
） 5
 
3.1%
、 4
 
2.5%
－ 2
 
1.2%
， 2
 
1.2%
CJK Compat Ideographs
ValueCountFrequency (%)
樓 2
100.0%
Hiragana
ValueCountFrequency (%)
の 2
50.0%
て 1
25.0%
に 1
25.0%
Punctuation
ValueCountFrequency (%)
“ 1
50.0%
” 1
50.0%

홈페이지
Text

MISSING 

Distinct592
Distinct (%)94.3%
Missing138
Missing (%)18.0%
Memory size6.1 KiB
2024-05-18T09:23:37.948881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length200
Median length142
Mean length82.509554
Min length6

Characters and Unicode

Total characters51816
Distinct characters76
Distinct categories10 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique568 ?
Unique (%)90.4%

Sample

1st rowhttp://hanok.seoul.go.kr/front/kor/bbs/selectBoardArticle.do?nttId=626&bbsId=BBSMSTR_000000000031
2nd rowhttp://stay.visitseoul.net/ko/02_room_view.html?fmuid=644&pcate=2&smarket[0]=&smarket[1]=&sword=%EC%97%AC%EB%A6%84%ED%95%9C%EC%98%A5&pn=1
3rd rowhttp://stay.visitseoul.net/ko/02_room_view.html?fmuid=523&pcate=2&smarket[0]=&smarket[1]=&sword=%EC%86%8C%EB%8B%B4&pn=1
4th rowhttp://stay.visitseoul.net/ko/02_room_view.html?fmuid=446&pcate=2&smarket[0]=&smarket[1]=&sword=%EB%AC%B8%20%EA%B2%8C%EC%8A%A4%ED%8A%B8&pn=1
5th rowhttp://stay.visitseoul.net/ko/02_room_view.html?fmuid=564&pcate=2&smarket[0]=&smarket[1]=&sword=%EB%8F%84%EC%9B%90%EC%A0%95%20%ED%9E%90%EB%A7%81%ED%95
ValueCountFrequency (%)
kumbakyeon.modoo.at 5
 
0.8%
http://www.seokparang.co.kr 4
 
0.6%
http://cwsb.modoo.at 4
 
0.6%
http://www.samcheonggak.or.kr 3
 
0.5%
http://www.chiwoonjung.com 3
 
0.5%
http://www.yeoreum.co.kr 3
 
0.5%
http://www.hahnmoosook.com 3
 
0.5%
http://samhaesoju.modoo.at 3
 
0.5%
https://www.facebook.com/pg/wooriguest 2
 
0.3%
http://www.xn--o39akk00q3qqa923d8rxvzec5cb3b.kr 2
 
0.3%
Other values (586) 600
94.9%
2024-05-18T09:23:39.266095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
% 3971
 
7.7%
t 3472
 
6.7%
s 3254
 
6.3%
e 3095
 
6.0%
/ 2746
 
5.3%
i 2024
 
3.9%
o 1953
 
3.8%
u 1574
 
3.0%
. 1496
 
2.9%
a 1429
 
2.8%
Other values (66) 26802
51.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 27963
54.0%
Other Punctuation 9967
 
19.2%
Decimal Number 7136
 
13.8%
Uppercase Letter 4386
 
8.5%
Math Symbol 1145
 
2.2%
Connector Punctuation 429
 
0.8%
Dash Punctuation 311
 
0.6%
Open Punctuation 239
 
0.5%
Close Punctuation 236
 
0.5%
Space Separator 4
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 3472
12.4%
s 3254
11.6%
e 3095
11.1%
i 2024
 
7.2%
o 1953
 
7.0%
u 1574
 
5.6%
a 1429
 
5.1%
n 1248
 
4.5%
l 1193
 
4.3%
p 1113
 
4.0%
Other values (16) 7608
27.2%
Uppercase Letter
ValueCountFrequency (%)
E 1418
32.3%
B 861
19.6%
A 694
15.8%
C 452
 
10.3%
D 247
 
5.6%
F 129
 
2.9%
S 105
 
2.4%
P 79
 
1.8%
G 78
 
1.8%
H 73
 
1.7%
Other values (15) 250
 
5.7%
Decimal Number
ValueCountFrequency (%)
8 1385
19.4%
3 1125
15.8%
2 1044
14.6%
9 843
11.8%
0 747
10.5%
1 460
 
6.4%
5 415
 
5.8%
4 411
 
5.8%
7 358
 
5.0%
6 348
 
4.9%
Other Punctuation
ValueCountFrequency (%)
% 3971
39.8%
/ 2746
27.6%
. 1496
 
15.0%
& 609
 
6.1%
: 602
 
6.0%
? 538
 
5.4%
, 5
 
0.1%
Open Punctuation
ValueCountFrequency (%)
[ 190
79.5%
( 49
 
20.5%
Close Punctuation
ValueCountFrequency (%)
] 190
80.5%
) 46
 
19.5%
Math Symbol
ValueCountFrequency (%)
= 1145
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 429
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 311
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 32349
62.4%
Common 19467
37.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 3472
 
10.7%
s 3254
 
10.1%
e 3095
 
9.6%
i 2024
 
6.3%
o 1953
 
6.0%
u 1574
 
4.9%
a 1429
 
4.4%
E 1418
 
4.4%
n 1248
 
3.9%
l 1193
 
3.7%
Other values (41) 11689
36.1%
Common
ValueCountFrequency (%)
% 3971
20.4%
/ 2746
14.1%
. 1496
 
7.7%
8 1385
 
7.1%
= 1145
 
5.9%
3 1125
 
5.8%
2 1044
 
5.4%
9 843
 
4.3%
0 747
 
3.8%
& 609
 
3.1%
Other values (15) 4356
22.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 51816
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
% 3971
 
7.7%
t 3472
 
6.7%
s 3254
 
6.3%
e 3095
 
6.0%
/ 2746
 
5.3%
i 2024
 
3.9%
o 1953
 
3.8%
u 1574
 
3.0%
. 1496
 
2.9%
a 1429
 
2.8%
Other values (66) 26802
51.7%

이미지명
Text

Distinct762
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
2024-05-18T09:23:40.063906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length21
Mean length20.937337
Min length11

Characters and Unicode

Total characters16038
Distinct characters23
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique761 ?
Unique (%)99.3%

Sample

1st rowSPM_1517969382048.jpg
2nd rowSPM_1483599066973.png
3rd rowSPM_1483618476124.jpg
4th rowSPM_1483619438381.jpg
5th rowSPM_1483618431945.jpg
ValueCountFrequency (%)
2283_24.jpg 5
 
0.7%
spm_1658726373587.jpg 1
 
0.1%
spm_1486105994339.png 1
 
0.1%
spm_1486102042021.jpg 1
 
0.1%
spm_1523581586059.jpg 1
 
0.1%
spm_1487037001472.png 1
 
0.1%
spm_1486105560900.png 1
 
0.1%
spm_1486106077986.png 1
 
0.1%
spm_1657082557497.jpg 1
 
0.1%
spm_1658722006758.jpg 1
 
0.1%
Other values (752) 752
98.2%
2024-05-18T09:23:41.445640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1718
 
10.7%
8 1267
 
7.9%
5 1123
 
7.0%
6 1070
 
6.7%
4 1047
 
6.5%
P 855
 
5.3%
7 848
 
5.3%
_ 766
 
4.8%
. 766
 
4.8%
M 761
 
4.7%
Other values (13) 5817
36.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9923
61.9%
Uppercase Letter 2565
 
16.0%
Lowercase Letter 2018
 
12.6%
Connector Punctuation 766
 
4.8%
Other Punctuation 766
 
4.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1718
17.3%
8 1267
12.8%
5 1123
11.3%
6 1070
10.8%
4 1047
10.6%
7 848
8.5%
3 747
7.5%
0 747
7.5%
2 702
7.1%
9 654
 
6.6%
Uppercase Letter
ValueCountFrequency (%)
P 855
33.3%
M 761
29.7%
S 761
29.7%
G 94
 
3.7%
N 85
 
3.3%
J 9
 
0.4%
Lowercase Letter
ValueCountFrequency (%)
g 672
33.3%
p 672
33.3%
j 662
32.8%
n 10
 
0.5%
e 2
 
0.1%
Connector Punctuation
ValueCountFrequency (%)
_ 766
100.0%
Other Punctuation
ValueCountFrequency (%)
. 766
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 11455
71.4%
Latin 4583
28.6%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1718
15.0%
8 1267
11.1%
5 1123
9.8%
6 1070
9.3%
4 1047
9.1%
7 848
7.4%
_ 766
6.7%
. 766
6.7%
3 747
6.5%
0 747
6.5%
Other values (2) 1356
11.8%
Latin
ValueCountFrequency (%)
P 855
18.7%
M 761
16.6%
S 761
16.6%
g 672
14.7%
p 672
14.7%
j 662
14.4%
G 94
 
2.1%
N 85
 
1.9%
n 10
 
0.2%
J 9
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 16038
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1718
 
10.7%
8 1267
 
7.9%
5 1123
 
7.0%
6 1070
 
6.7%
4 1047
 
6.5%
P 855
 
5.3%
7 848
 
5.3%
_ 766
 
4.8%
. 766
 
4.8%
M 761
 
4.7%
Other values (13) 5817
36.3%

이미지경로
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
/home/data/shp/place/
766 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row/home/data/shp/place/
2nd row/home/data/shp/place/
3rd row/home/data/shp/place/
4th row/home/data/shp/place/
5th row/home/data/shp/place/

Common Values

ValueCountFrequency (%)
/home/data/shp/place/ 766
100.0%

Length

2024-05-18T09:23:42.072466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T09:23:42.698148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
home/data/shp/place 766
100.0%

위도
Real number (ℝ)

Distinct228
Distinct (%)29.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.584758
Minimum37.54583
Maximum37.67089
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2024-05-18T09:23:43.247616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.54583
5-th percentile37.573682
Q137.57898
median37.581577
Q337.583043
95-th percentile37.64088
Maximum37.67089
Range0.12506
Interquartile range (IQR)0.004063125

Descriptive statistics

Standard deviation0.016887326
Coefficient of variation (CV)0.00044931316
Kurtosis8.6252945
Mean37.584758
Median Absolute Deviation (MAD)0.00192515
Skewness2.7526812
Sum28789.924
Variance0.00028518179
MonotonicityNot monotonic
2024-05-18T09:23:43.928266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.5820903 12
 
1.6%
37.582245 10
 
1.3%
37.5790313 8
 
1.0%
37.5789135 8
 
1.0%
37.58035 8
 
1.0%
37.5827482 8
 
1.0%
37.58029459999999 8
 
1.0%
37.5829925 8
 
1.0%
37.5823603 7
 
0.9%
37.5827234 7
 
0.9%
Other values (218) 682
89.0%
ValueCountFrequency (%)
37.54583 4
0.5%
37.54593 1
 
0.1%
37.54798 3
0.4%
37.54798480000001 1
 
0.1%
37.548094 1
 
0.1%
37.55616 1
 
0.1%
37.55759 1
 
0.1%
37.5588388 4
0.5%
37.56831 4
0.5%
37.57243 4
0.5%
ValueCountFrequency (%)
37.67089 4
0.5%
37.64319914 3
0.4%
37.6431991398349 1
 
0.1%
37.64303 4
0.5%
37.6428661 3
0.4%
37.6428660955128 1
 
0.1%
37.642728 1
 
0.1%
37.641766 1
 
0.1%
37.64165 4
0.5%
37.64161 4
0.5%

경도
Real number (ℝ)

Distinct230
Distinct (%)30.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.98205
Minimum126.9142
Maximum127.04037
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2024-05-18T09:23:44.919996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.9142
5-th percentile126.93995
Q1126.97514
median126.98567
Q3126.9875
95-th percentile127.00758
Maximum127.04037
Range0.126169
Interquartile range (IQR)0.012365685

Descriptive statistics

Standard deviation0.016771899
Coefficient of variation (CV)0.00013208086
Kurtosis2.7630666
Mean126.98205
Median Absolute Deviation (MAD)0.0026539
Skewness-0.70669981
Sum97268.252
Variance0.00028129658
MonotonicityNot monotonic
2024-05-18T09:23:45.441586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.98567159999992 12
 
1.6%
126.984039 10
 
1.3%
126.98640820000004 8
 
1.0%
126.98767610000004 8
 
1.0%
126.96788 8
 
1.0%
126.98726809999994 8
 
1.0%
126.98928120000004 8
 
1.0%
126.98563809999996 7
 
0.9%
126.98700269999996 7
 
0.9%
126.9842361 7
 
0.9%
Other values (220) 683
89.2%
ValueCountFrequency (%)
126.914197 1
 
0.1%
126.920087 1
 
0.1%
126.926806 1
 
0.1%
126.928496 1
 
0.1%
126.93035 4
0.5%
126.93834 4
0.5%
126.939069 1
 
0.1%
126.939112 1
 
0.1%
126.93915 4
0.5%
126.93943 3
0.4%
ValueCountFrequency (%)
127.040366 1
 
0.1%
127.037142 4
0.5%
127.03021 4
0.5%
127.0265757999994 1
 
0.1%
127.02631 3
0.4%
127.0184711 2
0.3%
127.01847109999994 1
 
0.1%
127.01824 4
0.5%
127.012775 1
 
0.1%
127.01257 3
0.4%

사용여부
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size898.0 B
True
519 
False
247 
ValueCountFrequency (%)
True 519
67.8%
False 247
32.2%
2024-05-18T09:23:45.876054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Interactions

2024-05-18T09:23:27.288006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T09:23:24.888011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T09:23:26.053801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T09:23:27.619154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T09:23:25.240693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T09:23:26.540983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T09:23:28.009798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T09:23:25.632789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T09:23:26.899044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-18T09:23:46.175398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일련번호구분코드지역코드언어위도경도사용여부
일련번호1.0000.6130.4740.8710.3120.4840.890
구분코드0.6131.0000.4470.0000.4280.4460.607
지역코드0.4740.4471.0000.0000.6960.7670.339
언어0.8710.0000.0001.0000.0000.0000.000
위도0.3120.4280.6960.0001.0000.7840.211
경도0.4840.4460.7670.0000.7841.0000.233
사용여부0.8900.6070.3390.0000.2110.2331.000
2024-05-18T09:23:46.630431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지역코드사용여부언어구분코드
지역코드1.0000.3370.0000.240
사용여부0.3371.0000.0000.440
언어0.0000.0001.0000.000
구분코드0.2400.4400.0001.000
2024-05-18T09:23:47.038305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일련번호위도경도구분코드지역코드언어사용여부
일련번호1.000-0.014-0.0960.3800.2370.7280.722
위도-0.0141.000-0.0020.2540.4340.0000.157
경도-0.096-0.0021.0000.2530.4850.0000.177
구분코드0.3800.2540.2531.0000.2400.0000.440
지역코드0.2370.4340.4850.2401.0000.0000.337
언어0.7280.0000.0000.0000.0001.0000.000
사용여부0.7220.1570.1770.4400.3370.0001.000

Missing values

2024-05-18T09:23:28.432178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-18T09:23:28.968134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

일련번호구분코드지역코드언어이름주소홈페이지이미지명이미지경로위도경도사용여부
05M010H001KOR북촌문화요일북촌문화센터(종로구 계동길 37)http://hanok.seoul.go.kr/front/kor/bbs/selectBoardArticle.do?nttId=626&bbsId=BBSMSTR_000000000031SPM_1517969382048.jpg/home/data/shp/place/37.579031126.986408N
16M002H001KOR여름한옥종로구 필운대로5가길 11-2http://stay.visitseoul.net/ko/02_room_view.html?fmuid=644&pcate=2&smarket[0]=&smarket[1]=&sword=%EC%97%AC%EB%A6%84%ED%95%9C%EC%98%A5&pn=1SPM_1483599066973.png/home/data/shp/place/37.579849126.968176N
222M002H005KOR창덕궁 소담종로구 율곡로8길 45http://stay.visitseoul.net/ko/02_room_view.html?fmuid=523&pcate=2&smarket[0]=&smarket[1]=&sword=%EC%86%8C%EB%8B%B4&pn=1SPM_1483618476124.jpg/home/data/shp/place/37.575248126.991123N
333M002H004KOR문 게스트하우스종로구 삼일대로32길 31-18http://stay.visitseoul.net/ko/02_room_view.html?fmuid=446&pcate=2&smarket[0]=&smarket[1]=&sword=%EB%AC%B8%20%EA%B2%8C%EC%8A%A4%ED%8A%B8&pn=1SPM_1483619438381.jpg/home/data/shp/place/37.576197126.988718N
421M002H001KOR도원정 힐링하우스종로구 율곡로1길 52-4http://stay.visitseoul.net/ko/02_room_view.html?fmuid=564&pcate=2&smarket[0]=&smarket[1]=&sword=%EB%8F%84%EC%9B%90%EC%A0%95%20%ED%9E%90%EB%A7%81%ED%95SPM_1483618431945.jpg/home/data/shp/place/37.577989126.981067N
58M002H002KOR서촌게스트하우스종로구 자하문로7길 28-3http://stay.visitseoul.net/ko/02_room_view.html?fmuid=627&pcate=2&smarket[0]=&smarket[1]=&sword=%EC%84%9C%EC%B4%8C%EA%B2%8C%EC%8A%A4%ED%8A%B8%ED%95%98SPM_1483599699648.jpg/home/data/shp/place/37.579061126.970656N
628M002H001KOR락고재종로구 가회동 218http://stay.visitseoul.net/ko/02_room_view.html?fmuid=294&pcate=2&smarket[0]=&smarket[1]=&sword=%EB%9D%BD%EA%B3%A0%EC%9E%AC&pn=1SPM_1483618897356.jpg/home/data/shp/place/37.580151126.986014N
724M002H001KOR만해당종로구 계동길 103-2http://stay.visitseoul.net/ko/02_room_view.html?fmuid=521&pcate=2&smarket[0]=&smarket[1]=&sword=%EB%A7%8C%ED%95%B4%EB%8B%B9&pn=1SPM_1483618617398.jpg/home/data/shp/place/37.581926126.98669N
827M002H001KOR연당 게스트하우스종로구 계동 6길 3http://stay.visitseoul.net/ko/02_room_view.html?fmuid=477&pcate=2&smarket[0]=&smarket[1]=&sword=%EC%97%B0%EB%8B%B9%20%EA%B2%8C%EC%8A%A4%ED%8A%B8%ED%95SPM_1523581167497.jpg/home/data/shp/place/37.582478126.987006N
94M002H002KOR누하당종로구 필운대로 49-7http://stay.visitseoul.net/ko/02_room_view.html?fmuid=596&pcate=2&smarket[0]=&smarket[1]=&sword=%EB%88%84%ED%95%98%EB%8B%B9&pn=1SPM_1483578872317.jpg/home/data/shp/place/37.58032126.968144N
일련번호구분코드지역코드언어이름주소홈페이지이미지명이미지경로위도경도사용여부
75679M005H002KOR석파정(손재형 옛 가옥)종로구 자하문로 309http://www.seokparang.co.kr/SPM_1484807253541.jpg/home/data/shp/place/37.599181126.958681Y
75780M005H006KOR길상사(구 대원각)성북구 선잠로5길 68http://kilsangsa.info/SPM_1484807302399.jpg/home/data/shp/place/37.599132126.994265Y
75882M005H006KOR수연산방성북구 성북로26길 8/front/kor/exp/expPlaceView.do?spmSeq=138&searchGubun=P200&searchGubunSub=P2S2SPM_1484807396868.jpg/home/data/shp/place/37.595013126.994826Y
75983M005H012KOR한무숙 문학관종로구 혜화로9길 20http://www.hahnmoosook.com/SPM_1484807442427.jpg/home/data/shp/place/37.587739126.998584Y
760158M006H001ENGLacquer Studio19-12, Bukchon-ro 5-gil, Jongno-gu<NA>SPM_1485996502371.jpg/home/data/shp/place/37.578913126.984236Y
761497M002H012KOR미담서울 종로구 북촌로6길 25-6https://stay.visitseoul.net/seoul-stay/view/%EB%AF%B8%EB%8B%B4?us=522SPM_1611304939097.jpg/home/data/shp/place/37.580569126.986323Y
762498M002H012KOR정연재서울 종로구 삼청로7길 19-14https://stay.visitseoul.net/seoul-stay/view/%EC%A0%95%EC%97%B0%EC%9E%AC?us=403SPM_1611305031139.jpg/home/data/shp/place/37.58345126.9807Y
763499M002H001KOR인우하우스서울 종로구 계동6길 9https://stay.visitseoul.net/seoul-stay/view/%EC%9D%B8%EC%9A%B0%ED%95%98%EC%9A%B0%EC%8A%A4?us=310SPM_1611305177426.jpg/home/data/shp/place/37.58273126.98712Y
764489M002H012KOR락고재서울 종로구 계동 98 락고재 서울https://stay.visitseoul.net/seoul-stay/view/%EB%9D%BD%EA%B3%A0%EC%9E%AC%EC%84%9C%EC%9A%B8%EB%B6%81%EC%B4%8C%ED%95%9C%EC%98%A5%EB%A7%88%EC%9D%84?us=133SPM_1611301175394.jpg/home/data/shp/place/37.580131126.986082Y
765491M002H011KOR힐링한옥 채효당서울 은평구 진관길 11-30 은평한옥마을 채효당https://stay.visitseoul.net/seoul-stay/view/%ED%9E%90%EB%A7%81%ED%95%9C%EC%98%A5%EC%B1%84%ED%9A%A8%EB%8B%B9?us=130SPM_1611301387919.jpg/home/data/shp/place/37.643199126.939738Y